Relationships between Academic Success and Health and Illness in College Students

This study investigated relationships between academic success and aspects of health and illness in college students. College juniors and seniors completed a survey addressing ratings of health, measures of sleep, mental health, screen time, the frequency of illness-related absences and access of healthcare. Measures of academic performance (GPA and academic status) were gathered from university records. Significant relationships to academic performance were found for overall health, sleep, mental health, time accessing social media, and frequency of accessing healthcare and school due to illness. Collectively, health measures predicted 10% of the variance in GPA.

Is sleep duration associated with self-reported overall health, screen time, and nighttime texting among adolescents?

Objectives We aimed to investigate whether sleep duration is associated with self-reported overall health, screen time, and nighttime texting among Swedish adolescents. Methods This was a cross-sectional survey of students (n = 1518) aged 13 to 15 years (50.7% girls) in southern Sweden. Results Fewer than 8 hours sleep duration before a school day was reported by 31% of students. The median time spent watching television and/or at the computer was 3 hours, and 43% of students reported texting at night one or more times per week. Sleeping fewer than 8 hours was significantly associated with poorer self-reported overall health, often being tired at school, increased screen time, and a habit of nighttime texting. Conclusions Short sleep duration (<8 hours) was associated with poor self-reported health, increased screen time, and nighttime texting among respondents. These results provide information for parents, educators, and school health professionals to encourage young people to adopt healthy screen habits and sleep hygiene.

Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health

Glycation, oxidation, nitration, and crosslinking of proteins are implicated in the pathogenic mechanisms of type 2 diabetes, cardiovascular disease, and chronic kidney disease. Related modified amino acids formed by proteolysis are excreted in urine. We quantified urinary levels of these metabolites and branched-chain amino acids (BCAAs) in healthy subjects and assessed changes in early-stage decline in metabolic, vascular, and renal health and explored their diagnostic utility for a noninvasive health screen. We recruited 200 human subjects with early-stage health decline and healthy controls. Urinary amino acid metabolites were determined by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry. Machine learning was applied to optimise and validate algorithms to discriminate between study groups for potential diagnostic utility. Urinary analyte changes were as follows: impaired metabolic health—increased Nε-carboxymethyl-lysine, glucosepane, glutamic semialdehyde, and pyrraline; impaired vascular health—increased glucosepane; and impaired renal health—increased BCAAs and decreased Nε-(γ-glutamyl)lysine. Algorithms combining subject age, BMI, and BCAAs discriminated between healthy controls and impaired metabolic, vascular, and renal health study groups with accuracy of 84%, 72%, and 90%, respectively. In 2-step analysis, algorithms combining subject age, BMI, and urinary Nε-fructosyl-lysine and valine discriminated between healthy controls and impaired health (any type), accuracy of 78%, and then between types of health impairment with accuracy of 69%-78% (cf. random selection 33%). From likelihood ratios, this provided small, moderate, and conclusive evidence of early-stage cardiovascular, metabolic, and renal disease with diagnostic odds ratios of 6 – 7, 26 – 28, and 34 – 79, respectively. We conclude that measurement of urinary glycated, oxidized, crosslinked, and branched-chain amino acids provides the basis for a noninvasive health screen for early-stage health decline in metabolic, vascular, and renal health.